
LIME [1]}: a model-agnostic explanation method based on local linear approximation;

SHAP [2]}: a model-agnostic explanation method based on assigning Shapley values to input data; both KernelSHAP and DeepSHAP are evaluated;

Integrated Gradient [3]}: a explanation method computing the gradient of the prediction with respect to the input;

DeepLift [4]}: a recursive explanation method attributing activation differences to the input via backpropagation;

RAIM [5]}: a self-explaining deep model that uses attention matrices as model explanations.

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